A Time-frequency Approach to Blind Separation of Under-determined Mixture of Sources

Keywords

Abstract

This paper deals with the problem of blind separation of
under-determined or over-complete mixtures (i.e. more
sources than sensors). At first a global scheme to sepa
rate under-determined mixtures is presented. Then a new
approach based on time-frequency representations (TFR)
is discussed. Finally, some experiments are conducted and
some experimental results are given.